Yong Fan, PhD

faculty photo
Assistant Professor of Radiology
Department: Radiology

Contact information
Department of Radiology
Perelman School of Medicine
University of Pennsylvania
Richards Building, 7th floor
3700 Hamilton Walk
Philadelphia, PA 19104-6116
Office: 215-746-4065
Education:
Ph.D. (Pattern Recognition and Intelligent Systems)
Chinese Academy of Sciences, Beijing, China, 2003.
Permanent link
 
> Perelman School of Medicine   > Faculty   > Details

Description of Research Expertise

Dr. Fan’s interests are in the field of imaging analytics and informatics, and more generally in computational imaging.

Much of his previous work has focused on computational neuroimaging in neuropsychiatry, which will continue to be a point of focus. However his program is expected to expand into other areas requiring advanced imaging analytics, especially towards the interface between imaging and genomics.

Selected Publications

Hongming Li, Maya Galperin-Aizenberg, Daniel Pryma, Charles B. Simone II, Yong Fan : Unsupervised machine learning of radiomic features for predicting treatment response and overall survival of early stage non-small cell lung cancer patients treated with stereotactic body radiation therapy Radiotherapy & Oncology 2018.

Hongming Li, Xiaofeng Zhu, Yong Fan: Identification of multi-scale hierarchical brain functional networks using deep matrix factorization. MICCAI 2018, the 21st International Conference on Medical Image Computing and Computer Assisted Intervention September 2018.

Hongming Li and Yong Fan: Identification of temporal transition of functional states using recurrent neural networks from functional MRI. MICCAI 2018, the 21st International Conference on Medical Image Computing and Computer Assisted Intervention. September 2018.

Hongming Li and Yong Fan: Brain decoding from functional MRI using long short-term memory recurrent neural networks. MICCAI 2018, the 21st International Conference on Medical Image Computing and Computer Assisted Intervention September 2018.

Hongming Li, Yong Fan: NON-RIGID IMAGE REGISTRATION USING SELF-SUPERVISED FULLY CONVOLUTIONAL NETWORKS WITHOUT TRAINING DATA. the IEEE International Symposium on Biomedical Imaging (ISBI'18) April 2018.

Reagan R. Wetherill, Hengyi Rao, Nathan Hager, Jieqiong Wang, Teresa R. Franklin, Yong Fan: Classifying and Characterizing Nicotine Use Disorder with High Accuracy Using Machine Learning and Resting-State fMRI. Addiction Biology 2018 Notes: DOI:10.1111/adb.12644.

Hongming Li, Yong Fan: BRAIN AGE PREDICTION BASED ON RESTING-STATE FUNCTIONAL CONNECTIVITY PATTERNS USING CONVOLUTIONAL NEURAL NETWORKS the IEEE International Symposium on Biomedical Imaging (ISBI'18) April 2018.

Qiang Zhen, Greg Tasian, Yong Fan: TRANSFER LEARNING FOR DIAGNOSIS OF CHRONIC KIDNEY DISEASE IN CHILDREN BASED ON ULTRASOUND IMAGING DATA. the IEEE International Symposium on Biomedical Imaging (ISBI'18) April 2018.

Xiaomei Zhao, Yihong Wu, Guidong Song, Zhenye Li, Yazhuo Zhang, Yong Fan: A deep learning model integrating FCNNs and CRFs for brain tumor segmentation Medical Image Analysis 43: 98-111, January 2018.

Xiaofeng Zhu, Weihong Zhang, Yong Fan: A robust reduced rank graph regression method for neuroimaging genetics analysis. Neuroinformatics 2018.

back to top
Last updated: 06/20/2018
The Trustees of the University of Pennsylvania